{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DCGAN生成漫画头像\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "## DCGAN原理\n",
    "\n",
    "DCGAN（深度卷积对抗生成网络，Deep Convolutional Generative Adversarial Networks）是GAN的直接扩展。不同之处在于，DCGAN会分别在判别器和生成器中使用卷积和转置卷积层。\n",
    "\n",
    "它最早由Radford等人在论文[Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks](https://arxiv.org/pdf/1511.06434.pdf)中进行描述。判别器由分层的卷积层、BatchNorm层和LeakyReLU激活层组成。输入是3x64x64的图像，输出是该图像为真图像的概率。生成器则是由转置卷积层、BatchNorm层和ReLU激活层组成。输入是标准正态分布中提取出的隐向量$z$，输出是3x64x64的RGB图像。\n",
    "\n",
    "本案例将使用动漫头像数据集来训练一个生成式对抗网络，接着使用该网络生成动漫头像图片。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 环境准备\r\n",
    "\r\n",
    "开发者拿到香橙派开发板后，首先需要进行硬件资源确认，镜像烧录及CANN和MindSpore版本的升级，才可运行该案例，具体如下：\r\n",
    "\r\n",
    "- 硬件： 香橙派AIpro 8G 8T开发板\r\n",
    "- 镜像： 香橙派官网ubuntu镜像\r\n",
    "- CANN：8.1.RC1\r\n",
    "- MindSpore： 2.6.0\r\n",
    "\r\n",
    "### 镜像烧录\r\n",
    "\r\n",
    "运行该案例需要烧录香橙派官网ubuntu镜像，烧录流程参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--镜像烧录](https://www.mindspore.cn/tutorials/zh-CN/r2.6.0/orange_pi/environment_setup.html#1-%E9%95%9C%E5%83%8F%E7%83%A7%E5%BD%95%E4%BB%A5windows%E7%B3%BB%E7%BB%9F%E4%B8%BA%E4%BE%8B)章节。\r\n",
    "\r\n",
    "### CANN升级\r\n",
    "\r\n",
    "CANN升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--CANN升级](https://www.mindspore.cn/tutorials/zh-CN/r2.6.0/orange_pi/environment_setup.html#3-cann%E5%8D%87%E7%BA%A7)章节。\r\n",
    "\r\n",
    "### MindSpore升级\r\n",
    "\r\n",
    "MindSpore升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--MindSpore升级](https://www.mindspore.cn/tutorials/zh-CN/r2.6.0/orange_pi/environment_setup.html#4-mindspore%E5%8D%87%E7%BA%A7)章节。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/miniconda3/lib/python3.9/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.\n",
      "  setattr(self, word, getattr(machar, word).flat[0])\n",
      "/usr/local/miniconda3/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.\n",
      "  return self._float_to_str(self.smallest_subnormal)\n",
      "/usr/local/miniconda3/lib/python3.9/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.\n",
      "  setattr(self, word, getattr(machar, word).flat[0])\n",
      "/usr/local/miniconda3/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.\n",
      "  return self._float_to_str(self.smallest_subnormal)\n"
     ]
    }
   ],
   "source": [
    "import mindspore\n",
    "mindspore.device_context.ascend.op_precision.precision_mode(\"allow_mix_precision\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据准备与处理\n",
    "\n",
    "首先我们将数据集下载到指定目录下并解压。示例代码如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://download.mindspore.cn/dataset/Faces/faces.zip (274.6 MB)\n",
      "\n",
      "file_sizes: 100%|████████████████████████████| 288M/288M [00:22<00:00, 12.6MB/s]\n",
      "Extracting zip file...\n",
      "Successfully downloaded / unzipped to ./faces\n"
     ]
    }
   ],
   "source": [
    "from download import download\n",
    "\n",
    "url = \"https://download.mindspore.cn/dataset/Faces/faces.zip\"\n",
    "\n",
    "path = download(url, \"./faces\", kind=\"zip\", replace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "下载后的数据集目录结构如下：\n",
    "\n",
    "```text\n",
    "./faces/faces\n",
    "├── 0.jpg\n",
    "├── 1.jpg\n",
    "├── 2.jpg\n",
    "├── 3.jpg\n",
    "├── 4.jpg\n",
    "    ...\n",
    "├── 70169.jpg\n",
    "└── 70170.jpg\n",
    "```\n",
    "\n",
    "### 数据处理\n",
    "\n",
    "首先为执行过程定义一些输入："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 4          # 批量大小\n",
    "image_size = 64           # 训练图像空间大小\n",
    "nc = 3                    # 图像彩色通道数\n",
    "nz = 100                  # 隐向量的长度\n",
    "ngf = 64                  # 特征图在生成器中的大小\n",
    "ndf = 64                  # 特征图在判别器中的大小"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "定义`create_dataset_imagenet`函数对数据进行处理和增强操作。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision as vision\n",
    "import mindspore as ms\n",
    "\n",
    "def create_dataset_imagenet(dataset_path):\n",
    "    \"\"\"数据加载\"\"\"\n",
    "    dataset = ds.ImageFolderDataset(dataset_path,\n",
    "                                    num_parallel_workers=4,\n",
    "                                    shuffle=True,\n",
    "                                    decode=True)\n",
    "\n",
    "    # 数据增强操作\n",
    "    transforms = [\n",
    "        vision.Resize(image_size),\n",
    "        vision.CenterCrop(image_size),\n",
    "        vision.HWC2CHW(),\n",
    "        lambda x: ((x / 255).astype(\"float32\"))\n",
    "    ]\n",
    "\n",
    "    # 数据映射操作\n",
    "    dataset = dataset.project('image')\n",
    "    dataset = dataset.map(transforms, 'image')\n",
    "\n",
    "    # 批量操作\n",
    "    dataset = dataset.batch(batch_size)\n",
    "    return dataset\n",
    "\n",
    "dataset = create_dataset_imagenet('./faces')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过`create_dict_iterator`函数将数据转换成字典迭代器，然后使用`matplotlib`模块可视化部分训练数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 560x140 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_data(data):\n",
    "    # 可视化部分训练数据\n",
    "    plt.figure(figsize=(4, 1), dpi=140)\n",
    "    for i, image in enumerate(data[0][:4], 1):\n",
    "        plt.subplot(1, 4, i)\n",
    "        plt.axis(\"off\")\n",
    "        plt.imshow(image.transpose(1, 2, 0))\n",
    "    plt.show()\n",
    "\n",
    "sample_data = next(dataset.create_tuple_iterator(output_numpy=True))\n",
    "plot_data(sample_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构造网络\n",
    "\n",
    "当处理完数据后，就可以来进行网络的搭建了。按照DCGAN论文中的描述，所有模型权重均应从`mean`为0，`sigma`为0.02的正态分布中随机初始化。\n",
    "\n",
    "### 生成器\n",
    "\n",
    "生成器`G`的功能是将隐向量`z`映射到数据空间。由于数据是图像，这一过程也会创建与真实图像大小相同的 RGB 图像。在实践场景中，该功能是通过一系列`Conv2dTranspose`转置卷积层来完成的，每个层都与`BatchNorm2d`层和`ReLu`激活层配对，输出数据会经过`tanh`函数，使其返回`[-1,1]`的数据范围内。\n",
    "\n",
    "DCGAN论文生成图像如下所示：\n",
    "\n",
    "![dcgangenerator](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/website-images/r2.3.0/tutorials/application/source_zh_cn/cv/images/dcgan.png)\n",
    "\n",
    "> 图片来源：[Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks](https://arxiv.org/pdf/1511.06434.pdf).\n",
    "\n",
    "我们通过输入部分中设置的`nz`、`ngf`和`nc`来影响代码中的生成器结构。`nz`是隐向量`z`的长度，`ngf`与通过生成器传播的特征图的大小有关，`nc`是输出图像中的通道数。\n",
    "\n",
    "以下是生成器的代码实现："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mindspore import nn, mint\n",
    "from mindspore.common.initializer import Normal\n",
    "\n",
    "weight_init = Normal(mean=0, sigma=0.02)\n",
    "gamma_init = Normal(mean=1, sigma=0.02)\n",
    "\n",
    "class Generator(nn.Cell):\n",
    "    \"\"\"DCGAN网络生成器\"\"\"\n",
    "\n",
    "    def __init__(self):\n",
    "        super(Generator, self).__init__()\n",
    "        self.generator = nn.SequentialCell(\n",
    "            nn.Conv2dTranspose(nz, ngf * 8, 4, 1, 'valid', weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 8, gamma_init=gamma_init),\n",
    "            mint.nn.ReLU(),\n",
    "            nn.Conv2dTranspose(ngf * 8, ngf * 4, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 4, gamma_init=gamma_init),\n",
    "            mint.nn.ReLU(),\n",
    "            nn.Conv2dTranspose(ngf * 4, ngf * 2, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 2, gamma_init=gamma_init),\n",
    "            mint.nn.ReLU(),\n",
    "            nn.Conv2dTranspose(ngf * 2, ngf, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf, gamma_init=gamma_init),\n",
    "            mint.nn.ReLU(),\n",
    "            nn.Conv2dTranspose(ngf, nc, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            mint.nn.Tanh()\n",
    "            )\n",
    "\n",
    "    def construct(self, x):\n",
    "        return self.generator(x)\n",
    "\n",
    "generator = Generator()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 判别器\n",
    "\n",
    "如前所述，判别器`D`是一个二分类网络模型，输出判定该图像为真实图的概率。通过一系列的`Conv2d`、`BatchNorm2d`和`LeakyReLU`层对其进行处理，最后通过`Sigmoid`激活函数得到最终概率。\n",
    "\n",
    "DCGAN论文提到，使用卷积而不是通过池化来进行下采样是一个好方法，因为它可以让网络学习自己的池化特征。\n",
    "\n",
    "判别器的代码实现如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Discriminator(nn.Cell):\n",
    "    \"\"\"DCGAN网络判别器\"\"\"\n",
    "\n",
    "    def __init__(self):\n",
    "        super(Discriminator, self).__init__()\n",
    "        self.discriminator = nn.SequentialCell(\n",
    "            nn.Conv2d(nc, ndf, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.LeakyReLU(0.2),\n",
    "            nn.Conv2d(ndf, ndf * 2, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 2, gamma_init=gamma_init),\n",
    "            nn.LeakyReLU(0.2),\n",
    "            nn.Conv2d(ndf * 2, ndf * 4, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 4, gamma_init=gamma_init),\n",
    "            nn.LeakyReLU(0.2),\n",
    "            nn.Conv2d(ndf * 4, ndf * 8, 4, 2, 'pad', 1, weight_init=weight_init),\n",
    "            nn.BatchNorm2d(ngf * 8, gamma_init=gamma_init),\n",
    "            nn.LeakyReLU(0.2),\n",
    "            nn.Conv2d(ndf * 8, 1, 4, 1, 'valid', weight_init=weight_init),\n",
    "            )\n",
    "        self.adv_layer = mint.nn.Sigmoid()\n",
    "\n",
    "    def construct(self, x):\n",
    "        out = self.discriminator(x)\n",
    "        out = mint.flatten(out, start_dim=1)\n",
    "        return self.adv_layer(out)\n",
    "\n",
    "discriminator = Discriminator()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 结果展示\n",
    "\n",
    "下面我们通过加载生成器网络模型参数文件来生成图像，代码如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://cdn.modelers.cn/lfs/4b/e6/6d580c738bcb8679b348e2228c279bf30f11ae61852cc1edd6a45ed4ba64?response-content-disposition=attachment%3B+filename%3D%22generator.ckpt%22&AWSAccessKeyId=HAZQA0Q6AQL2GHX4TKTL&Expires=1755617628&Signature=bwffefWvQ2AfOyF7rET5Vekwn7w%3D (13.7 MB)\n",
      "\n",
      "file_sizes: 100%|██████████████████████████| 14.3M/14.3M [00:00<00:00, 15.8MB/s]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(26093:255085724540960,MainProcess):2025-08-18-23:33:50.320.021 [mindspore/train/serialization.py:1860] For 'load_param_into_net', remove parameter prefix name: optim_g., continue to load.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully downloaded file to ./generator.ckpt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-08-18 23:33:50.346610: E external/org_tensorflow/tensorflow/core/framework/node_def_util.cc:676] NodeDef mentions attribute T which is not in the op definition: Op<name=StatelessRandomNormalV2; signature=shape:Tshape, key:uint64, counter:uint64, alg:int32 -> output:dtype; attr=dtype:type,default=DT_FLOAT,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT, DT_DOUBLE]; attr=Tshape:type,default=DT_INT32,allowed=[DT_INT32, DT_INT64]> This may be expected if your graph generating binary is newer  than this binary. Unknown attributes will be ignored. NodeDef: {{node StatelessRandomNormalV2}}\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 480x120 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# download ckpt\n",
    "dcgan_url = \"https://modelers.cn/coderepo/web/v1/file/MindSpore-Lab/cluoud_obs/main/media/examples/mindspore-courses/orange-pi-online-infer/10-DCGAN/generator.ckpt\"\n",
    "path = \"./generator.ckpt\"\n",
    "ckpt_path = download(dcgan_url, path, replace=True)\n",
    "\n",
    "# 从文件中获取模型参数并加载到网络中\n",
    "mindspore.load_checkpoint(ckpt_path, generator)\n",
    "\n",
    "fixed_noise = mint.randn(batch_size, nz, 1, 1)\n",
    "img64 = mint.permute(generator(fixed_noise), (0, 2, 3, 1)).asnumpy()\n",
    "\n",
    "fig = plt.figure(figsize=(4, 1), dpi=120)\n",
    "images = []\n",
    "images.append(np.concatenate((img64[0: 4]), axis=1))\n",
    "img = np.clip(np.concatenate((images[:]), axis=0), 0, 1)\n",
    "plt.axis(\"off\")\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "vscode": {
   "interpreter": {
    "hash": "1b7d0cf718d96af9afce6b8a158fe6c40f94b7eaa199e9db8a682b64f9545fc9"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
